Large Language Models are rapidly gaining traction in software engineering, yet their growing carbon footprint raises pressing sustainability concerns. While tr...
Physics-Informed Neural Networks (PINNs) incorporate physics into neural networks by embedding partial differential equations (PDEs) into their loss function. D...
markdown !Cover image for ChatGPT vs Claude vs Gemini: How Each AI Actually Searches the Web With Real Datahttps://media2.dev.to/dynamic/image/width=1000,height...
Today, we’re releasing an update to ChatGPT’s most‑used model that makes everyday conversations more consistently helpful and fluid. GPT‑5.3 Instant delivers mo...
Introduction GPT‑5.3 Instant is the newest addition to the GPT‑5 series. As described in our bloghttps://openai.com/index/gpt-5-3-instant/, GPT‑5.3 Instant res...
TL;DR: VibeFarm Studio helps you compose, organize, and export clean prompts to any AI toolhttps://zdcs.link/a0734w?pageview_type=Standard&template=article&modu...
Large Language Models (LLMs) have already been widely adopted for automated algorithm design, demonstrating strong abilities in generating and evolving algorith...
Overview Anthropic currently offers five Claude models. Selecting the appropriate model can significantly affect both cost and output quality. Model Summaries...
Switching from ChatGPT to Claude is no longer a risky reset. What used to feel like abandoning months of refined prompts, structured workflows, and carefully tu...
What Claude Code Actually Does and What It Can't Do for You - 🎧 Audio Edition: Prefer to listen? Check out the expanded AI podcast version of this deep‑dive o...
!Article imagehttps://dev-to-uploads.s3.amazonaws.com/uploads/articles/yj53nociqps4kvxqdftd.png Your 'private' prompts are being baked into a training model tha...
OpenAI GPT‑5.3 Instant Overview - Reduced hallucinations – Up to 26.8 % fewer hallucinations compared with the previous model, emphasizing accuracy and convers...
!Cover image for Predicting Traffic in the City of Buffalo Using a Neural Networkhttps://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=aut...
Incident Report for Claudehttps://status.claude.com/ Updates - Posted Mar 03, 2026 – 04:43 UTC – We are continuing to investigate this issue. - Posted Mar 03,...
'markdown Jan 29, 2026 Ajeet Mirwanihttps://developers.googleblog.com/search/?author=Ajeet+Mirwani – Americas Program Lead, Google Developer Experts
Overview Calling the Claude API is easy: put a prompt in messages.create and get an answer back. But that alone doesn’t make a product. To build a real app you...
Article https://unbound.video Discussion - Points: 4 - Comments: 1 - Comments URL: https://news.ycombinator.com/item?id=47226865...
The transition from sequential to parallel computing is essential for modern high-performance applications but is hindered by the steep learning curve of concur...
Deutsche Telekom, the German cell provider—which holds a majority stake in T‑Mobile—is partnering with ElevenLabs to enable an AI assistant on all of its networ...
Anthropic is aiming to lure customers from ChatGPT and Gemini with a new memory import tool that’s available to free users as of today. Conversations and memori...
!Claude Mac apphttps://9to5mac.com/wp-content/uploads/sites/6/2024/10/claude-mac-app.jpg?quality=82&strip=all&w=1600 New Memory Import Tool for Claude Anthropic...
Memory Feature Now Available on Free Plan Anthropic is making it easier to switch to its Claude AI from other chatbots with an update that brings Claude’s memo...
The Qwen 3.5 small model drop just hit, and I’m over here sipping coffee like “told you so.” If you haven’t seen it yet, go read Alex Finn’s post. Quick summary...
Memory Feature on Claude's Free Plan Anthropic is adding a new paid feature to Claude's free tier: the ability to reference previous conversations when generat...
markdown February Reflections Sometimes twenty‑nine. That’s February: a short month. Roughly four standard weeks. About twenty workdays. On a grand scale, not m...
markdown !Claude AI import and export memorieshttps://www.zdnet.com/a/img/resize/6094c3e34ae2db46a572afdb724d535d69efaed9/2026/03/02/4ed0625e-0b88-4e70-9f87-fae...
Overview Despite political turmoil in the U.S. AI sector, China’s AI advances are continuing apace without a hitch. Earlier today, e‑commerce giant Alibaba’s Q...
Human-product images, which showcase the integration of humans and products, play a vital role in advertising, e-commerce, and digital marketing. The essential ...
Training on verifiable symbolic data is a promising way to expand the reasoning frontier of language models beyond what standard pre-training corpora provide. Y...
Selective conformal prediction can yield substantially tighter uncertainty sets when we can identify calibration examples that are exchangeable with the test ex...
Test-time reinforcement learning (TTRL) has emerged as a promising paradigm for self-evolving large reasoning models (LRMs), enabling online adaptation on unlab...
Pre-deployment evaluations inspect only a limited sample of model actions. A malicious model seeking to evade oversight could exploit this by randomizing when t...
The deployment of multimodal models in high-stakes domains, such as self-driving vehicles and medical diagnostics, demands not only strong predictive performanc...
An agent must try new behaviors to explore and improve. In high-stakes environments, an agent that violates safety constraints may cause harm and must be taken ...
Autonomous vehicle (AV) perception models are typically evaluated solely on benchmark performance metrics, with limited attention to code quality, production re...
Reasoning problems such as Sudoku and ARC-AGI remain challenging for neural networks. The structured problem solving architecture family of Recurrent Reasoning ...
We present Sketch2Colab, which turns storyboard-style 2D sketches into coherent, object-aware 3D multi-human motion with fine-grained control over agents, joint...
Long-context inference in large language models is bottlenecked by Key--Value (KV) cache loading during the decoding stage, where the sequential nature of gener...
Multi-attribution learning (MAL), which enhances model performance by learning from conversion labels yielded by multiple attribution mechanisms, has emerged as...
The classification of Intangible Cultural Heritage (ICH) images in the Mekong Delta poses unique challenges due to limited annotated data, high visual similarit...
Reservoir expansion can improve online independent component analysis (ICA) under nonlinear mixing, yet top-n whitening may discard injected features. We formal...
The rapid proliferation of Claude agent skills has raised the central question of how to effectively leverage, manage, and scale the agent skill ecosystem. In t...
Instruction-based video editing has witnessed rapid progress, yet current methods often struggle with precise visual control, as natural language is inherently ...
We introduce GeoDiT, a diffusion transformer designed for text-to-satellite image generation with point-based control. Existing controlled satellite image gener...
Low-bit attention, such as SageAttention, has emerged as an effective approach for accelerating model inference, but its applicability to training remains poorl...
While multimodal survival prediction models are increasingly more accurate, their complexity often reduces interpretability, limiting insight into how different...
Retrieval-Augmented Generation (RAG) systems commonly adopt retrieval fusion techniques such as multi-query retrieval and reciprocal rank fusion (RRF) to increa...
The extraction of critical information from crime-related documents is a crucial task for law enforcement agencies. Named-Entity Recognition (NER) can perform t...
